Experience Strategy | User Interface
Real-time insights and business agility through a self-service data analytics platform
Data Analytics
Cloud Computing
Enterprise Software
Challenge
Our client, a global data solutions leader, faced challenges in enabling customers to explore and analyze data across hybrid cloud environments. IT bottlenecks in setting up analytics environments were causing delays, increasing costs, and frustrating users. With data spread across AWS S3, Hadoop, and on-premises sources, they needed a solution to
- Eliminate IT dependency for platform setup
- Enable self-service for analysts and data scientists
- Ensure seamless scalability and performance optimization
- Reduce time to insights and enhance business agility
How did we engage?
Our team engaged deeply with the client’s product, engineering, and operations teams throughout the project. We hosted design thinking workshops, iterative feedback sessions, and technical deep dives to ensure the platform met user needs. By collaborating closely with stakeholders, we delivered a robust, scalable solution that exceeded the client’s expectations. The project was executed in agile sprints, with continuous user testing and refinement to optimize the platform’s functionality and user experience.
Solution
A fully managed, self-service cloud platform that allows users to quickly and easily analyze data from multiple sources. The platform supports diverse file formats, including JSON, CSV, and Parquet, and integrates with popular third-party tools such as Tableau, Python, and R.
Key features of the platform include:
- Self-Service Portal: Enables business users to load, experiment with, and analyze data without IT involvement. The platform automatically configures a database environment and provides a user-friendly query builder for executing complex SQL queries.
- Elastic Performance: The platform offers three performance tiers, allowing users to optimize for speed or cost. This ensures that queries can scale to meet workload demands, reducing latency and infrastructure overhead.
- Real-Time Analytics: By integrating with AWS S3 and other cloud environments, the platform ensures real-time access to fresh data, enabling quicker decision-making and improving time-to-insight.
Impact
Overall, the platform empowered users to derive insights in minutes rather than weeks, driving better decision-making and cost efficiency. The implementation of the self-service platform led to significant improvements in both operational efficiency and business outcomes.
Time-to-insight
as business users can now directly access and analyze data without waiting for IT setup
In infrastructure costs
thanks to the elastic performance scaling and the ability to optimize queries based on workload requirements
Business agility
by enabling real-time data analysis, allowing enterprises to react faster to market changes and business opportunities
